class_docstr: Canonical metric of the Grassmann manifold.
  
  Coincides with the Frobenius metric.
docstr: Squared geodesic distance between two points.
  
  Parameters
  ----------
  point_a : array-like, shape=[..., dim]
      Point.
  point_b : array-like, shape=[..., dim]
      Point.
  
  Returns
  -------
  sq_dist : array-like, shape=[...,]
      Squared distance.
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code: def squared_dist(self, point_a, point_b, **kwargs):
      """Squared geodesic distance between two points.
  
      Parameters
      ----------
      point_a : array-like, shape=[..., dim]
          Point.
      point_b : array-like, shape=[..., dim]
          Point.
  
      Returns
      -------
      sq_dist : array-like, shape=[...,]
          Squared distance.
      """
      return _squared_dist(point_a, point_b, metric=self)
  
imports: import geomstats.backend
  import geomstats.errors
  from geomstats.geometry.base import LevelSet
  from geomstats.geometry.general_linear import GeneralLinear
  from geomstats.geometry.matrices import Matrices, MatricesMetric
  from geomstats.geometry.symmetric_matrices import SymmetricMatrices
  from geomstats.vectorization import repeat_out
label_desc: Use image node_id 6 for calling the GrassmannianCanonicalMetric obj's underlying member method code with example usage: obj.squared_dist(point_a, point_b) and returns: _squared_dist